Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2003.02944.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:28:29.764275Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T21:48:48.144455Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation a5d52ba6-48b8-4580-8133-8085dcdc7f22 · inbound
Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets through Strongly Scattering Media Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
Reference 67
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0702554f-1935-4194-a567-08d85d7d7519 · inbound
Embodied Neuromorphic Control Applied on a 7-DOF Robotic Manipulator Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcbb25a6-61f3-4a04-859c-8249f5e466a0 · inbound
ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d11b8bc-be9a-40ed-80b6-010afc92a343 · inbound
TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
Reference 2020
Source-reported events for the cited work
Unavailable: canonical work link unavailable.